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Fabian L. Thiemann — most-cited papers & profile · AI for Science
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Fabian L. Thiemann
4
papers ·
25
citations
Google Scholar ↗
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Most-cited papers
Introduction to machine learning potentials for atomistic simulations
2024 · 25 citations
Microscopic origin of polytype-dependent melting in SiC revealed by machine-learning molecular dynamics
2026
Equivariant Interatomic Potentials without Tensor Products
2026
Better without U: Impact of Selective Hubbard U Correction on Foundational MLIPs
2026
Top co-authors
and Viktor Z\'olyomi
· 1
Angelos Michaelides
· 1
Bruno Henrique Nunes
· 1
Christoph Schran
· 1
Flaviu Cipcigan
· 1
Gábor Csányi
· 1
Gabriel Jacob Perin
· 1
Lara Kabalan
· 1
Ljiljana Stojanovi\'c
· 1
Mathias Steiner
· 1
Niamh O'Neill
· 1
Richard N. White
· 1
Topics
Materials
Physics ML
Chemistry